ML Engineer

talixjobs.com · Pune, Bangalore , Hyderabad · full-time · mid level

Remote allowed INR 1000000 – 1200000 3 openings

About this role

Skills Building RAG projects, Classical ML, LLM , ML Engineer , model deployment , NLP ,Python, RAG Project Highlights Prestigious Client / Project: This project is a prestigious global client recognized for its innovative workplace culture and cutting-edge technology initiatives. • Revolutionizing Technologies: Developers will work with technologies and roles that includes designing scalable APIs, integrating advanced AI/ML features, and optimizing system performance to deliver immediate impact. Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, vector databases (Pinecone, Weaviate, FAISS), and cloud-native solutions on AWS Agile Development: The development will ensuring close collaboration with cross-functional teams including Engineering, Product, and Data Science. Enabling the team to deliver high-quality, business-impactful solutions Roles and Responsibilities * Design and build Python-based services and APIs to power platform. Develop and integrate AI features, including RAG pipelines, vector search, and LLM applications. Partner with Product Managers, Data Scientists, and ML Engineers to bring prototypes to production Ensure high standards of code quality, testing, and maintainability. • Optimize backend performance, troubleshoot issues, and improve developer workflows Contribute to technical design discussions, providing input on architecture and implementation choices. Share knowledge and collaborate with other engineers to create a strong technical culture

Requirements

Experience: 4 to 6 Years Requirements Professional software development experience. • Strong experience with Python and backend development. Good to have: practical experience with RAG pipelines Solid understanding of RESTful APIs and database design (MySQL, PostgreSQL, or similar). Exposure to AI/ML concepts, ideally with experience in embeddings, vector stores, or LLMs. Good to have: practical experience with RAG pipelines Familiarity with cloud services (AWS preferred), Elasticsearch, or scalable data systems * Bonus: frontend experience with React/TypeScript Strong problem-solving ability, autonomy, and comfort working in a remote-first environment Clear communication skills for collaborating with distributed teams. Benefits Of Working With Us Opportunities to work in Latest Technologies. * Challenging / Complex Development Projects Working with Large clients. • Strong Development & Delivery Processes Focus on Learning and Development.

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